Job Description

What you’ll do:

  • Data Analysis & Modeling: Analyze large, complex data sets related to demand forecasting, supply
  • planning to uncover actionable insights.
  • Machine Learning: Apply statistical and machine learning techniques to forecast demand which would
  • include
  • Data ingestion, data visualization and insights, verifying the integrity of data used for analysis
  • Feature engineering, configuring forecasting models
  • Fine tune forecasting model
  • Present results in a clear manner
  • Supply Chain Optimization: Implement optimization algorithms to improve supply chain efficiency, reduce
  • costs, and enhance service levels.
  • Consulting & Advisory: Serve as a subject matter expert (SME) for supply chain analytics, advising
  • stakeholders on best practices, tools, and strategies for effective supply chain management.
  • Process Improvement: Identify inefficiencies within the supply chain and recommend data-driven
  • strategies for continuous improvement.

    • What we are looking for:

  • Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Industrial
  • Engineering, Operations Research, Supply Chain Management, or a related field.
  • Experience: 5-12 years of experience in data science or Supply Chain Operations Analytics, or worked on
  • forecasting projects leveraging statistical/ML models; experience with data visualization tools
  • Technical Skills: Proficiency in data science tools and programming languages such as Python, R, SQL, and
  • experience with supply chain management platforms/processes. Good, applied statistics skills, such as
  • distributions, statistical testing, regression, etc
  • Machine Learning: Hands-on experience with machine learning techniques/algorithms (e.g., regression,
  • classification, clustering) and optimization models.
  • Industry Knowledge: Familiarity with supply chain processes such as demand forecasting, inventory
  • management, procurement, logistics, and distribution.
  • Analytical Thinking: Strong problem-solving skills with the ability to analyze complex data sets and
  • translate insights into actionable recommendations.
  • Personal competencies
  • Ability to work independently and as part of a team in a consulting environment.
  • Attention to detail, with the ability to manage large data sets and complex analysis.
  • Communication: Excellent verbal and written communication skills to present findings clearly to non-technical stakeholders.

    • Our Values


    If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success – and the success of our customers. Does your heart beat like ours? Find out here: Core Values

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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